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Data Analysis in Databricks using Pyspark & SQL Hands On

10 Inputs
10 Minutes
Beginner
scenario poster
Industry
e-commerce
Skills
data-wrangling
Tools
databricks
sql
spark
python

Learning Objectives

Load and explore datasets using PySpark DataFrames.
Perform common data manipulation tasks like filtering, grouping, aggregating, and sorting.
Perform common data manipulation tasks on Temporary views

Overview

This module provides a hands-on introduction to data analysis in Databricks using PySpark and SQL. You’ll gain practical experience in loading, transforming, and querying data, enabling you to extract valuable insights with ease.

Prerequisites

  • Familiarity with data analysis techniques, such as filtering, grouping & joins
  • Loading Data into Dataframes
  • Creating Temporary Views